Mykolaiv vs Poltava: result 0-1 and analysis
Persha LigaRegular Season - 23Kick-off on March 31, 2017 at 02:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
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What was the result of Mykolaiv vs Poltava?
Poltava won 0-1 on March 31, 2017.
Goalscorers
- 71′Yevhen TroyanovskyiPoltava
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 3 wins, 4 draws and 8 defeats; Poltava have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | Arsenal Kyiv(away) | 0-1 | Persha Liga |
| Mar 18, 2017 | Inhulets(home) | 1-0 | Persha Liga |
| Nov 26, 2016 | FC Mariupol(home) | 0-0 | Cup |
| Nov 19, 2016 | Hirnyk-Sport(away) | 1-3 | Persha Liga |
| Nov 13, 2016 | Skala Stryi(home) | 2-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 25, 2017 | FC Mariupol(home) | 0-2 | Persha Liga |
| Mar 18, 2017 | Obolon'-Brovar(away) | 1-0 | Persha Liga |
| Nov 19, 2016 | Sumy(away) | 3-1 | Persha Liga |
| Nov 13, 2016 | Arsenal Kyiv(home) | 0-1 | Persha Liga |
| Nov 9, 2016 | Inhulets(away) | 0-1 | Persha Liga |
What does the head-to-head say?
Across the last 6 meetings: 1 Mykolaiv win(s), 2 draw(s), 3 Poltava win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 26, 2016 | Poltava 0-2 Mykolaiv | Persha Liga |
| Mar 26, 2016 | Poltava 1-0 Mykolaiv | Persha Liga |
| Aug 15, 2015 | Mykolaiv 1-1 Poltava | Persha Liga |
| May 23, 2015 | Mykolaiv 2-4 Poltava | Persha Liga |
| Oct 18, 2014 | Poltava 3-3 Mykolaiv | Persha Liga |
| Apr 18, 2014 | Poltava 2-0 Mykolaiv | Persha Liga |
How many goals should we expect?
Mykolaiv score 0.5 and concede 1.2 goals per match over their last 15; Poltava score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 0.5 | 1.2 | 7 | 4/15 | 5/15 |
| Poltava | 1.1 | 1.1 | 3 | 6/15 | 7/15 |
Over the last 15 matches in all competitions.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy